INSITE: A Tool for Real-Time Knowledge Discovery from Users Web Navigation
Summary: INSITE enables real-time knowledge discovery from web navigation with minimal overhead and scalable user-tracking. It uses the Connectivity Matrix Model (CM-model) to build live profiles, support real-time clustering visualization, and temporal queries for data-driven decisions. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Cyrus Shahabi
- 2. Adil Faisal
- 3. Farnoush Banaei Kashani
- 4. Jabed Faruque
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 27 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00080736878 |
| 33 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00077324389 |
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